Director, Software Engineering

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Job Category

Products and Technology

Job Details

Salesforce CRM Analytics is one of the fastest growing businesses in Salesforce and has disrupted the Analytics market by bringing AI augmented analytics to every business user. Einstein Discovery is a critical component of Salesforce CRM Analytics that augments business intelligence with statistical modeling and supervised Machine Learning to identify, surface, and visualize insights into business data. It uses predictive and prescriptive analysis to predict future outcomes, as well as suggested ways to improve predicted outcomes. The Einstein Discovery team’s mission is to democratize machine learning and data science techniques through an intuitive, easy to use experience to empower everyone to make smarter business decisions. 

We are looking for a seasoned engineering leader with extraordinary technical skills, management experience and real passion for innovation to lead an amazing team of engineers and help drive the future of Einstein Discovery. As the Director of Engineering, you will define and lead the technical roadmap and strategy for the team. You will be responsible for delivering customer impact through new ML-powered experiences and incremental improvements to the existing product. You will collaborate with engineering leaders across the company on strategic initiatives to meet internal demands for ML capabilities across the Salesforce ecosystem. You will partner closely with our Product team to broaden the impact of the Einstein Discovery platform and its predictive capabilities by enabling integration with additional products such as Tableau, Salesforce Industry Clouds, among others. 

Responsibilities

• Define and drive technical roadmap and strategy for the team, managing both short and long term technology investments.

• Lead multiple engineering teams to implement and deploy complex software solution that meets security, scalability and performance requirements

• Represent your team to key stakeholders, internal and external audiences with differing levels of technical proficiency

• Partner closely with product management, user experience, and other engineering teams to create, drive, and deliver intuitive experiences to our customers.

• Collaborate with other leaders and stakeholders on organization-wide initiatives and influence long term ML and data platform architecture roadmap

• Develop and grow talent through effective mentoring, succession planning, and retention strategies for key talent in a fast growth economic environment

• Foster a culture of collaboration, engineering/operational excellence and regular delivery of customer value

Qualifications

• 10+ years in software experience with 5+ years people management experience, including managing managers.

• Demonstrated experience with large scale distributed systems and shipping enterprise software with multiple dependencies in a high impact area.

• Demonstrated experience building and leading diverse engineering teams with a collaborative and inclusive culture, focused on delivering customer value. 

• Solid understanding of Agile development and modern DevOps practices.

• High level of accountability, bias to action and a desire to empower individuals on the team to perform at their best.

• Excellent written and verbal communication skills with the ability to communicate effectively across disciplines and to various levels of an organization.

• Bachelor's degree (or higher) in Computer Science, Software Engineering or equivalent experience.

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